code: def forward(self, x):
      # [N, C, 1, 1]
      context = self.spatial_pool(x)
  
      out = x
  
      if self.fusion_type == "channel_mul":
          # [N, C, 1, 1]
          channel_mul_term = F.sigmoid(self.channel_mul_conv(context))
          out = out * channel_mul_term
      elif self.fusion_type == "channel_add":
          # [N, C, 1, 1]
          channel_add_term = self.channel_add_conv(context)
          out = out + channel_add_term
      else:
          # [N, C, 1, 1]
          channel_concat_term = self.channel_concat_conv(context)
  
          # use concat
          _, C1, _, _ = channel_concat_term.shape
          N, C2, H, W = out.shape
  
          out = paddle.concat(
              [out, channel_concat_term.expand([-1, -1, H, W])], axis=1
          )
          out = self.cat_conv(out)
          out = F.layer_norm(out, [self.inplanes, H, W])
          out = F.relu(out)
  
      return out
  
file_path: PaddleOCR/ppocr/modeling/backbones/table_master_resnet.py
imports: import paddle
  import paddle.nn
  import paddle.nn.functional
label_desc: Use image node_id 3 for calling the MultiAspectGCAttention obj's underlying member method code with example usage: obj.forward(x) and returns: out